Publications

PUBLICATIONS

Selected Journal Publications

Selected Conference Proceedings

"Cross Tensor Approximation Methods for Compression and Dimensionality Reduction", S Ahmadi-Asl, CF Caiafa, A Cichocki, A H-Phan, T Tanaka, I Oseledets, J Wang, IEEE Access, 9 (2021).
“Serial-EMD: Fast Empirical Mode Decomposition Method for Multi-dimensional Signals Based on Serialization”, J Zhang, F Feng, P Marti-Puig, CF Caiafa, Z Sun, F Duan, J Sole-Casals, Information Sciences (2021).
“WLnet: Towards an Approach for Robust Workload Estimation Based on Shallow Neural Networks”, S Zhe, B Li, F Duan, H Jia, S Wang, Y Liu, A Cichocki, CF Caiafa, J Solé-Casals. IEEE Access, 9 (2020).
"Galactic H I supershells: kinetic energies and possible origin", LA Suad, CF Caiafa, EM Arnal, S Cichowolski, Astronomy & Astrophysics, 624 (2019).
"Associative white matter connecting the dorsal and ventral posterior human cortex", D Bullock, H Takemura, CF Caiafa, L Kitchell, B McPherson, B Caron, F Pestilli, Brain Structure and Function, 224 (2019).
"Derivatives as data: An open repository of repeated-measures structural connectomes and white matter tracts anatomy", P Avesani, CF Caiafa, B McPherson, S Hayashi, R Henschel, E Garyfallidis, A Patterson, O Sporns, A Saykin and F Pestilli, Nature Scientific Data 6, 69 (2019).
"Dopamine neurons in the ventral tegmental area enhance information coding in the prefrontal cortex”, Camilo J. Mininni, César F. Caiafa, B. Silvano Zanutto, Kuei Y. Tseng M.D., Sergio E. Lew, Nature Scientific Reports (2018).
“Brain-Computer Interface with Corrupted EEG Data: A Tensor Completion Approach”, J. Solé-Casals, Cesar F. Caiafa, Q. Zhao, A. Cichocki, Cognitive Computation(2018), ArXi
“Dynamical phase diagrams of a love capacity constrained prey-predator model”, P. Toranj Simin, G.R. Jafari, Marcel Ausloos,César F. Caiafa, Leonidas F. Caram, A. Sonubi, A. Arcagni, S. Stefani, European Physical Journal B (2018) 91: 43. ArXiv
Multidimensional encoding of brain connectomes”, Cesar F. Caiafa and Franco Pestilli, Scientific Reports (Nature), 7, Article number: 11491 (2017).
"Inverting Monotonic Nonlinearities by Entropy Maximization”, Jordi Solé-Casals, Karmele López-de-Ipiña Pena, Cesar F. Caiafa, PLoS ONE, Oct. 2016.
"Ensemble Tractography”, H. Takemura, C. F. Caiafa, B. Wandell and F. Pestilli, PLOS Computational Biology, Feb. 2016
“Tensor Decompositions for Signal Processing Applications. From Two-way to Multiway Component Analysis”, A. Cichocki, D. Mandic, C. Caiafa, A-H. Phan, G. Zhou, Q. Zhao, and L. De Lathauwer, IEEE Signal Processing Magazine , Vol. 32, No. 2, pp. 145 - 163, March 2015. ArXiv
“Stable, Robust and Super Fast Reconstruction of Tensors Using Multi-Way Projections”, C. F. Caiafa, A. Cichocki, IEEE Transactions on Signal Processing, Vol. 63, No. 3, pp. 780 - 793, Jan. 2015. ArXiv
“A new catalogue of HI supershell candidates in the outer part of the Galaxy”, L. A. Suad, C. F. Caiafa, E. M. Arnal, S. Cichowolski, Astronomy & Astrophysics, Vol. 564, Apr 2014. Pre-print
“Multidimensional Compressed Sensing and their Applications”, Cesar F. Caiafa, A. Cichocki, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 3, No. 6, pp. 355-380, Sept 2013. Pre-print
“Computing Sparse Representations of Multidimensional Signals Using Kronecker Bases”, Cesar F. Caiafa, A. Cichocki, Neural Computation, Vol. 25, No. 1 , pp. 186-220, 2013. Pre-print
“Higher-Order Partial Least Squares (HOPLS): A Generalized Multi-Linear Regression Method”, Qibin Zhao, Cesar F. Caiafa, Danilo P. Mandic, Zenas C. Chao, Yasuo Nagasaka, Naotaka Fujii, Liqing Zhang and Andrzej Cichocki, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 35, No. 7, pp. 1660-1673, 2013. Pre-print
“A Fast Gradient Approximation for Nonlinear Blind Signal Processing”, Jordi Solé-Casals, Cesar F. Caiafa, Cognitive Computation, Vol. 5, No. 4, pp. 483-492, 2013. Pre-print
“On the Conditions for Valid Objective Functions in Blind Separation of Independent and Dependent Sources”, Cesar F. Caiafa, EURASIP Journal on Advances in Signal Processing, Vol. 2012, pp. 255, 2012.
“Generalizing the Column-Row Matrix Decomposition to Multi-way Arrays”, Cesar F. Caiafa, A. Cichocki, Linear Algebra and its Applications, Vol. 433, pp. 557–573, 2010 (Elsevier). Pre-print
“Dynamic Peer-to-Peer Competition”, Leonidas F. Caram, Cesar F. Caiafa, Araceli N. Proto, Marcel Ausloos, Physica A, Vol. 389, pp. 2628–2636, 2010 (Elsevier). ArXiV
"Estimation of Sparse Non-negative Sources from Noisy Overcomplete Mixtures using MAP", Cesar F. Caiafa and Andrzej Cichocki, Neural Computation, Vol. 21, Issue 12, pp. 3487-3518, Dec. 2009 (MIT Press). Pre-print
"Blind Spectral Unmixing by Local Maximization of Non-Gaussianity" , C. F. Caiafa, E. Salerno, A. N. Proto, L. Fiumi, Signal Processing (EURASIP) Vol. 88, Issue 1, pp. 50-68, Jan. 2008 (Elsevier).
“Separation of Statistically Dependent Sources Using an L²-distance Non-Gaussianity Measure”. Cesar F. Caiafa and Araceli N. Proto, Signal Processing (EURASIP) Vol. 86, Issue 11, pp. 3404-3420, Nov. 2006 (Elsevier).
“Individual Recognition of Female Southern Elephant Seals, Mirounga Leonina, Applying Principal Components Analysis”, Cesar F. Caiafa, Araceli N. Proto, Daniel Verganic and Zulma Stanganelli , Journal of Biogeography, Vol. 32, Issue 7, pp. 1257-1266, 2005 (Blackwell Synergy).

“Learning from Incomplete Features by Simultaneous Training of Neural Networks and Sparse Coding”, CF Caiafa, Z Wang, J Solé-Casals, Q Zhao. LLID Workshop at CVPR 2021 (Conference on Computer Vision and Pattern Recognition), New York, USA, 19-25 June 2021.
“Learning Macroscopic Brain Connectomes via Group-Sparse Factorization”, F Aminmansour, A Patterson, L Le, Y Peng, D Mitchell, Franco Pestilli, CF Caiafa, R Greiner, M White. NeurIPS 2019 (Annual Conference on Neural Information Processing Systems), Vancouver, Canada, 8-14 December 2019.
“Unified representation of tractography and diffusion-weighted MRI data using sparse multidimensional arrays”, Cesar F. Caiafa, Olaf Sporns, Andrew Saykin, Franco Pestilli, Proc. Advances in Neural Information Processing Systems 30 (NIPS 2017), Long Beach, United States, 4-9 December, 2017.
“A Sparse Tensor Decomposition with Multi-Dictionary Learning Applied to Diffusion Brain Imaging”, Cesar F. Caiafa, Andrzej Cichocki, Franco Pestilli, Proc. Signal Processing with Adaptive Sparse Structured Representations (SPARS 2017), Lisbon, Portugal, 5-8 June, 2017
“Fast and Stable Recovery of Approximately Low Multilinear Rank Tensors From Multi-Way Compressive Measurements”, Cesar F. Caiafa and Andrzej Cichocki, Proc. ICASSP 2014 (IEEE International Conference on Acoustic, Speech and Signal Processing 2014), Florence, Italy, 4-9 May, 2014.
“Tensor Decompositions Tools for Multidimensional CS”, Cesar F. Caiafa and Andrzej Cichocki, Proc. SPARS 2013 (Signal Processing with Adaptive Sparse Structured Representations), Lausanne, Switzerland, 8-1 July, 2013.
“Block Sparse Representations of Tensors Using Kronecker Bases”, Cesar F. Caiafa and Andrzej Cichocki, Proc. ICASSP 2012 (IEEE International Conference on Acoustic, Speech and Signal Processing 2012), pp. 2709-2712, Kyoto, Japan, 25-30 March, 2012.
“A Multilinear Subspace Regression Method Using Orthogonal Tensors Decompositions”, Qibin Zhao, Cesar F. Caiafa, Danilo P. Mandic, Liqing Zhang, Tonio Ball, Andreas Schulze-Bonhage and Andrzej Cichocki, Proc. NIPS 2011 (Neural Information Processing Systems), Granada, Spain, 12-17 December, 2011.
“Methods for Factorization and Approximation of Tensors by Partial Fiber Sampling”, Cesar F. Caiafa and Andrzej Cichocki, Proc. CAMSAP 2009 (3rd International Workshop on Computational Advances in Multi-Sensor Adaptive Processing), Aruba, Dutch Antilles, December 13-16, 2009. (invited paper)
“Flexible HALS Algorithms for Sparse Non-Negative Matrix/Tensor Factorization”, Andrzej Cichocki, Anh Huy Phan, Cesar Caiafa, Proc. of IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2008), pp. 73-78, October 16-19, 2008 , Cancún, Mexico.
“Dependent Component Analysis as a Tool for Blind Spectral Unmixing of Remote Sensed Images”. C. F. Caiafa, E. Salerno, A. N. Proto and L. Fiumi. Proc. EUSIPCO 2006 (European Signal Processing Conference), Florence, Sept. 4-8, 2006.
"A Minimax Entropy Method for Blind Separation of Dependent Components in Astrophysical Images" C. F. Caiafa, E. E. Kuruoglu and A. N. Proto, AIP- Proc. MaxEnt 2006 - Twenty sixth International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering CNRS, Paris, France, July 8-13, 2006, pp. 81-88.
“A Non-Gaussianity Measure for Blind Source Separation”, C. F. Caiafa and A. N. Proto, Proceedings of SPARS05, Nov. 16-18, 2005 – IRISA - Rennes (France).